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  3. Analysis of Variance in Statistical Image Processing
  • Cited by 29
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    • Publisher:
      Cambridge University Press
      Publication date:
      09 October 2009
      13 April 1997
      ISBN:
      9780511530166
      9780521581820
      9780521031967
      DOI:
      https://doi.org/10.1017/CBO9780511530166
      Dimensions:
      (253 x 177 mm)
      Weight & Pages:
      0.635kg, 226 Pages
      Dimensions:
      (253 x 177 mm)
      Weight & Pages:
      0.377kg, 228 Pages
      • Subjects:
      Optics, Optoelectronics and Photonics, Physics and Astronomy, Engineering, Image Processing and Machine Vision
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    Subjects:
    Optics, Optoelectronics and Photonics, Physics and Astronomy, Engineering, Image Processing and Machine Vision
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    Book description

    A key problem in practical image processing is that of detecting certain features in a noisy image. Analysis of variance (ANOVA) techniques can be very effective in such situations, and this book gives a detailed account of the use of ANOVA in statistical image processing. The book begins by describing the statistical representation of images in the various ANOVA models. A number of computationally efficient algorithms and techniques are then presented, to deal with such problems as line, edge and object detection, as well as image restoration and enhancement. By describing the basic principles of these techniques, and showing their use in specific situations, the book will facilitate the design of new algorithms for particular applications. It will be of great interest to graduate students and engineers in the field of image processing and pattern recognition.

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